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gpt4free: Free Language Models

Get free access to powerful language models with gpt4free, ideal for startup founders needing chatbot solutions
66,485 stars13,531 forksPythonGuide quality 9/10Updated 7/24/2026100% free · open source
What it does

Gpt4free provides a collection of powerful language models, including Opus, GPT, Kimi, Deepseek, and Gemini, for various natural language processing tasks.

When to use it
  • •When you need to integrate advanced language models into your application without worrying about licensing or costs.
  • •For building chatbots, language translation systems, or text summarization tools with high-quality models.
  • •When you want to experiment with different language models and compare their performance on specific tasks.
Ready-to-paste prompt
python opus/opus.py --prompt 'Describe the benefits of using open-source language models'
Heads up: Be aware that running these models requires significant computational resources, including a compatible GPU and at least 8 GB of RAM, to avoid performance issues or crashes.
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/gpt4free && curl -fsSL https://workflowstacks.com/api/skills/gpt4free/claude-skill -o ~/.claude/skills/gpt4free/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How gpt4free: Free Language Models works
Codeflow
Free to inspect

Gpt4free: Free Language Models is a very large Python project (~62k lines across 302 code files, plus 15 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, GPL-3.0 license, has a test suite.

Size
Very large codebase
~62k lines · 302 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Python · Docker
No API keys detected
Python 97%Go 1%Shell 1%HTML 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    SKILL.md
    The instructions the AI actually follows
  3. 3
    g4f-go/main.go
    Where the program starts running
  4. 4
    requirements.txt
    Dependencies and the commands it exposes
What's in each folder
docs/Documentation6 files
g4f/Folder227 files
etc/Folder66 files
g4f-go/Folder25 files
projects/Folder10 files
docker/Deployment / infrastructure8 files
scripts/Helper scripts6 files
generated_media/Folder1 files
READMEHas testsDocumentedCI checksDocker readyGPL-3.0 licenseUpdated this month
Quick Actions
Details
Creator
xtekky
Language
Python
Category
support
Published
3/29/2023

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